Work expectations
Status
Actively looking
Not looking
Open to new opportunities
Previously hired through SkillsRobin
Location
Melbourne
-
Open to relocating
Commitment
Full-time, Casual / Contract / Part-time, Join as a startup co-founder
Availability from time of offer
In 1 month or less
Experience
2-5 years
experience
Top 3 programming languages/frameworks
Python, Shell/Bash, R
Also knows
TensorFlow, FastAPI, Git, Matplotlib, NumPy, Playwright, Pytest, scikit-learn
Preferred work environment
Hybrid, Fully remote, In the office
Strengths
I’m good at understanding messy scientific or real-world data and building ML systems that extract structure from it.
I pick up new tools and frameworks quickly and enjoy figuring things out from first principles.
I’m comfortable taking ownership of problems and building end-to-end solutions across data, modelling, validation, and backend code.
I communicate well with both technical and domain experts, which helps when working with cross-functional teams.
I enjoy working in fast-moving environments where the scope isn’t fully defined yet.
Interested in working involving
I'm looking for a role where I can work at the intersection of machine learning, science, and software engineering - ideally solving real-world technical problems with messy data. I enjoy building end-to-end systems (data pipelines, models, validation, APIs) and working closely with domain experts. I'm especially interested in roles in scientific AI, chemical/materials informatics, computer vision, and ML infrastructure, but I'm also open to high-impact ML or backend engineering roles in early-stage startups where I can learn quickly and contribute across the stack.
Not interested in work involving
Other information
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia
Pay expectations
Full-time
$
110000
per year
Casual / Contract
$
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to volunteering or working for equity only
Not interested in volunteering or working for equity only if joining as a co-founder
Work experience
Proudest professional achievement
I built an end-to-end computer vision and ML system for automated contact-angle measurement during my PhD. It involved collecting and cleaning messy experimental data, generating synthetic data, designing training and validation pipelines, and running large experiments on HPC. The final system outperformed traditional methods and was published in Langmuir. I’m proud of this because it showed I could take a difficult scientific problem, understand the domain, and build a working ML solution from first principles.
Software Tester / ML Developer — Early-Stage AI/ML Startup
2025 – Present
- Automated API and web testing using PyTest, Requests, and Playwright.
- Built NLP evaluation pipelines (POS tagging, confusion matrices) using Python and R.
- Performed data analysis, model validation, and reproducibility improvements.
- Gained hands-on exposure to AWS-based deployment and development environments.
PhD Researcher — Large Public Research University
2021 – 2025
- Built end-to-end computer vision and machine learning systems for analysing physical and chemical data (contact angles, wetting, materials interfaces).
- Designed synthetic datasets, validation workflows, and HPC-scale training pipelines.
- Developed scientific Python tooling with OpenCV, TensorFlow, and related libraries.
- Published research in Langmuir (ACS) and collaborated with chemists and materials scientists.
- Led development of a desktop scientific imaging application in collaboration with computer science students.
Tutor & Research Assistant — Large Public Research University
2021 – 2024
- Taught materials science and supervised Masters-level projects in ML and surface science.
- Assisted in experimental analysis, modelling, and data-processing workflows.
Independent Developer — Personal Product Project
2025
- Built an end-to-end application using Python, FastAPI, Streamlit, and automated data-ingestion pipelines.
- Processed unstructured supplier data and delivered a functional UI for real users.
- Demonstrated strong backend engineering, product development, and data pipeline capabilities.
Workshop Manager — Small Local Automotive Repair Business
2014 – 2022
- Managed scheduling, quoting, and day-to-day operations in a fast-paced workshop environment.
Education
PhD in Chemical Engineering
University of Melbourne • 2021–2025
- Thesis: Machine Learning and Automated Analysis for Contact Angle Measurement
- Built ML systems for extracting structured scientific data from images
- Developed synthetic datasets and HPC-scale training pipelines
- Published in Langmuir (ACS Journal)
- Developed open-source analysis tools using Python, OpenCV, TensorFlow, and PyTorch
- Best Presentation Award, ACSSSC 2024
Bachelor of Science (Honours)
Monash University
- Major in Chemistry, minor in Mathematics & Biochemistry
- Honours thesis on ML prediction of molecular thermodynamic properties (HD 91)
International Research Experience
Leibniz-Institut für Polymerforschung, Dresden • 2019
- Focus on experimental surface science and automated Python-based analysis tools
Leibniz-Institut für Oberflächenmodifizierung, Leipzig • 2024
- Focus on experimental surface science and automated Python-based analysis tools
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